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In Proc. Institute of Navigation, National Technical Meeting, Jan. 2002. 19. R. Lorenz and S. Boyd. Robust minimum variance beamforming. In The Thirty-Seventh Asilomar Conference on Signals, Systems, and Computers, Vol. 2, pp. 1345– 1352, 2003. 20. G. J. Burke. Numerical electromagnetics code—NEC-4 method of moments. Technical Report UCRL-MA-109338, Lawrence Livermore National Laboratory, Jan. 1992. 21. M. S. Lobo, L. Vandenberghe, S. P. Boyd, and H. Lebret. Applications of second-order cone programming.

S. P. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory, Vol. 15, Studies in Applied Mathematics, SIAM, Philadelphia, June 1994. 42. A. Kurzhanski and I. Va´lyi. Ellipsoidal calculus for estimation and control. In Systems & Control: Foundations & Applications. Birkhauser, Boston, 1997. 43. R. Horn and C. Johnson. Topics in Matrix Analysis. Cambridge University Press, Cambridge, 1991. 2 ROBUST ADAPTIVE BEAMFORMING BASED ON WORST-CASE PERFORMANCE OPTIMIZATION Alex B.

Adaptive Filter Theory. Prentice Hall Information and System Sciences Series, Prentice Hall, Englewood Cliffs, 1996. 8. K. Harmanci, J. Tabrikian, and J. L. Krolik. Relationships between adaptive minimum variance beamforming and optimal source localization. IEEE Transactions on Signal Processing, 48(1), 1 – 13 (2000). 9. A. Ben-Tal and A. Nemirovski. Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications. MPS/SIAM Series on Optimization, SIAM, Philadelphia, 2001.

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